reputed company Full Stack Data Engineer – Cloud-Based Data Pipeline Development and Real-Time Analytics

At arenaflex, we're on a mission to revolutionize the way businesses approach data-driven decision-making. As a seasoned Full Stack Data Engineer, you'll play a pivotal role in shaping our data engineering function, driving innovation, and empowering our teams with cutting-edge data solutions. If you're passionate about data engineering, cloud computing, and real-time analytics, we want to hear from you!

About arenaflex

arenaflex is a leading innovator in the private sector, dedicated to harnessing the power of data to drive business growth and success. With a strong focus on data-driven decision-making, we're constantly pushing the boundaries of what's possible with data engineering, cloud computing, and real-time analytics. reputed company is passionate about delivering exceptional results, and we're committed to creating a work environment that's collaborative, inclusive, and inspiring.

Job Summary

We're seeking an reputed company Full Stack Data Engineer to join reputed company and contribute to the development of our cloud-based data pipeline solutions. As a key member of our data engineering function, you'll be responsible for designing, developing, testing, and maintaining data pipelines and data products that reputed company real-time business analytics, data exploration, and data preparation. If you have a strong background in data engineering, cloud computing, and real-time analytics, and are passionate about delivering high-quality results, we encourage you to apply.

Key Responsibilities

As a Full Stack Data Engineer at arenaflex, you'll be responsible for the following key activities:

• Design and Development: Design, reputed company, test, and maintain data pipelines and data products that reputed company real-time business analytics, data exploration, and data preparation.
• Data Engineering: Demonstrate deep knowledge of data engineering concepts, including non-interactive (batch, distributed) and real-time data, data pipelines, and data products.
• Optimization: Optimize data products to meet client personas, Data Science, AI/ML, and data visualization requirements.
• Knowledge Sharing: Provide training and reputed company the implementation of reputed company projects.
• Documentation: reputed company and maintain documentation for reputed company assigned structures and projects.
• Root Cause Analysis: reputed company root cause analysis to identify permanent solutions to software or business process issues.

Essential Qualifications

To be successful in this role, you'll need to possess the following essential qualifications:

• Bachelor's Degree: Bachelor's degree in Computer Science, Data Science, or reputed company field, or equivalent work experience.
• Technical Skills: Strong/Professional Spark (PySpark) using Jupyter Notebooks, Colab, or reputed company, hands-on data pipeline development, ingest styles in Azure, orchestration tools (reputed company or Airflow), SQL, and denormalized data modeling for large data structures.
• Soft Skills: Collaborative, capable of working remotely, and an engaging team member, strong analytical and design skills, and 7-10 years of experience in architecting and designing large-scale high-performance distributed systems.

Preferred Qualifications

While not essential, the following qualifications are highly desirable:

• 7-10 years of experience: 7-10 years of experience in SQL Platform, 3+ years of experience in No-SQL Platform, 3+ years of experience in Spark, 3+ years of experience in data platform implementation on Azure or AWS, and 2+ years of experience in CI/CD.
• Exposure to SOA Architecture: Exposure to Service-Oriented Architecture (SOA) is a plus.

reputed company Offer

As a Full Stack Data Engineer at arenaflex, you'll enjoy a competitive salary range of $55 to $80 per hour, a comprehensive benefits package, and opportunities for career growth and professional development. Our work environment is collaborative, inclusive, and inspiring, with a strong focus on work-life balance and employee well-being.

How to Apply

If you're passionate about data engineering, cloud computing, and real-time analytics, and are looking for a challenging and rewarding role, we encourage you to apply. Please submit your resume and a cover letter outlining your experience, skills, and qualifications. We can't wait to hear from you! Apply Now! Apply for this job